Rational:

The BIG-DATA DISEASE ICBO workshop aims to cover topics of data representation, standardization and automated tools for data integration in the biomedical and BIG-DATA context.
The development of BIG-DATA applications over the past two decades highlights the imperative for ontology developers to work hand-in-hand with large-scale biomedical and clinical data resources to coordinate curation of data elements (e.g. genes, disease, drugs, animal models) with standards for human disease nomenclature and modeling the complexity of human diseases within a semantic ontology representation. This workshop will provide a platform for discussing the challenges of on-going data curation for knowledge integration. The workshop will explore the use of axioms to curate cross-ontology connections, generation of data connections across BIG-Data resources/projects, automated and Open Linked Data for integrating large curated datasets and data dissemination within a CC0 environment to foster BIG-Data analysis. (e.g. JAX CKB interpretation of cancer data).

Funding:
NHGRI U41

SCHEDULE

Location

Clinical approaches for disease classification for the pleiotropy of genetic diseases and the multi-organ impact of environmental conditions. (Lynn M. Schriml; University of Maryland School of Medicine) -20 min